Essential feature extraction of photoplethysmography signal of men and women in their 20s

Djawad, Yasser Abd and Mu'nisa, Andi and Rusung, Pengayoman and Kurniawan, Abdi and Idris, Irma Suryani and Taiyeb, A. Mushawwir (2017) Essential feature extraction of photoplethysmography signal of men and women in their 20s. Chulalongkorn University.

[img] Text (Artikel Jurnal Int Bereputasi)
Yasser Essential Features EJ.pdf

Download (392kB)
[img] Text (Peer Review Artikel Jurnal Int Bereputasi)
Yasser EJ Gabung.pdf

Download (529kB)
[img] Text (Turnitin Similarity Test)
paper 5.pdf

Download (2MB)
[img] Text (Bukti Korespondensi)
Engineering Journal.pdf

Download (208kB)
Official URL: https://www.engj.org/index.php/ej/article/view/135...

Abstract

Abstract. This study aims to extract the essential features of Photoplethysmography (PPG) signal of men and women in healthy subjects using Power Spectral Density (PSD) and Detrended Fluctuation Analysis (DFA). A PPG instrument was used to obtain the PPG signal of 15 men and 15 women. Using PSD, four frequency bands were selected to divide the spectral component. The areas within the frequency bands relative to the total area were computed as features of the signals. Furthermore, using DFA, the average fluctuation F(w) was computed. The feature extraction using this technique produced 4 features from different windows. Hurst exponent was calculated to analyse the characteristics of the time series. For comparing the feature extraction techniques, Heart Rate (HR) and Peak to Peak Interval (PPI) were computed. Additionally, F and T tests for all techniques were computed to determine the differences between man and woman features that have been gathered using these two techniques. The results indicate that the features of PPG signals of men and women using PSD and DFA were significantly different. In order to evaluate the results, a clustering analysis was applied to the results using K-means clustering technique. The clustering plots show that the features were well distributed into the two groups.

Item Type: Other
Uncontrolled Keywords: Feature extraction, frequency bands, spectral component, average fluctuation
Subjects: FAKULTAS TEKNIK > Pendidikan Teknik Elektronika
KARYA ILMIAH DOSEN
Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions: KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN
KARYA ILMIAH DOSEN
Depositing User: Yasser Abd Djawad
Date Deposited: 02 Jun 2021 06:49
Last Modified: 16 Jul 2021 14:26
URI: http://eprints.unm.ac.id/id/eprint/20046

Actions (login required)

View Item View Item